摘要
图像分割是图像处理和计算机视觉的重要研究领域.在此将基于免疫机理的改进贝叶斯优化算法应用于图像分割,利用其较好的寻优能力搜索到图像的最佳阈值,达到较好的图像分割效果,并拓展了算法的应用领域.仿真结果表明,改进贝叶斯优化算法可以获得更好的图像分割效果及更低的计算量.
Image segmentation is one of the most important research fields of image process and computer vision.In this paper,improved Bayesian optimization algorithm based on immune mechanism is introduced into image segmentation to seek optimal threshold by using the algorithm＇s optimizing ability,and to extend this algorithm＇s application field.Simulation results show that the proposed algorithm has a better image segmentation result and lower computational complexity.
出处
《应用科技》
CAS
2010年第12期19-22,共4页
Applied Science and Technology
关键词
图像分割
贝叶斯优化算法
免疫机理
计算量
image segmentation
Bayesian optimization algorithm
immune mechanism
computational complexity
